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Identifying the functionalities of urban regions helps policy makers to improve resource management and urban planning. In this paper, we propose an improved framework to discover urban functional regions with GPS trajectories and POIs. We construct a spatial proximity model (SPM) by incorporating spatial clustering and co-location patterns into the traditional independent model, and then employ resilient...
Optimization of the industry structure is important for the sustainable development for developing countries, e.g. China. The inexact stochastic multiple objective programming (ISMOP) which integrates stochastic programming, interval linear programming, and multiple objective programming was applied to analyze the optimization of industrial structure based on water environmental carrying capacity...
In this paper, we examine the degree of spatial focusing of the inter-provincial migration in China by using the Gini index. Based on the data from the 2000 and 2010 censuses in China, we analyze the changes of spatial focusing of inter-provincial migration flows between 2000 and 2010. The results indicate that, firstly, the spatial distribution of inter-provincial migration flows in China is highly...
Based on the network autocorrelation concept and related modeling methods, this paper analyzes the existence of network autocorrelation effects and builds several spatial OD models to explore the spatial mechanisms among Chinese inter-provincial migration flows using the sixth national census data. Several results are as follows: (1) there is a significant network dependence relationship among inter-provincial...
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